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Plant.id is a machine learning-based plant identification API launched in 2018, [6] with the plant disease identification API, plant.health, released in April 2022. [4] The plant.id API is suitable for integration into other software, such as mobile apps [ 7 ] or urban trees from remote-sensing imagery.
Pl@ntNet is a global citizen science project which provides an app and a website for plant identification through photographs, based on machine-learning; Leaf Snap is an iOS app developed by the Smithsonian Institution that uses visual recognition software to identify North American tree species from photographs of leaves. [citation needed]
Fungi, Prokaryotes, Metazoa, Protist, Plants [41] [42] PHANOTATE: A tool to annotate phage genomes. Phages [43] SplicePredictor Method to identify potential splice sites in (plant) pre-mRNA by sequence inspection using Bayesian statistical models: Eukaryotes [44] VEIL Hidden Markov model to find genes in vertebrate DNA Server: Eukaryotes [45]
An app for smartphones (and a web version) was launched in 2013, [4] which allows to identify thousands of plant species from photographs taken by the user. It is available in several languages. As of 2019 it had been downloaded over 10 million times, in more than 180 countries worldwide. [1]
Identify cross-linked peptides from mzML files and use Python script or standalone executables for Linux and Windows. It is feasible to use with bigger databases with a two-step approach. [50] DataAnalysis Proprietary: Software by Bruker used with mass spectrometry instruments. DeNovoGUI Open source
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